Sort by
Refine Your Search
-
been traditionally popular, more recently graph databases have risen to prominence. A graph database uses nodes (vertices) and relationships (edges) to create a graph (network) that represents
-
the context of algorithmic problems related to constraint satisfaction and graph homomorphism and isomorphism problems. It brings to bear significant new mathematical (algebraic and topological) methods
-
the context of algorithmic problems related to constraint satisfaction and graph homomorphism and isomorphism problems. It brings to bear significant new mathematical (algebraic and topological) methods
-
reconstructions. 4D temporal reasoning will be integrated in the model using graphs to model relationships between people and objects to capture both short-term and long-term dynamics, for temporally coherent
-
Language Models (LLMs) in IoT/Personal Devices The Rust Repository of Babel: Malware Library Securing Open Source Robotics: addressing the flaws in ROS Knowledge-graph based approaches for reasoning about
-
, such as extreme value theory, to understand and model rare high-impact wind events. Innovate Model Architectures: Develop novel model structures such as spatiotemporal graph neural networks, physics
-
. Alternative approaches are graph-based molecule reaction space sampling and generative machine learning as they provide a path to new synthetic data that can form the basis for a large-scale database of
-
/1361-6420/ab0b77 . J. M. Budd, Y. van Gennip, J. Latz, S. Parisotto, and C.-B. Schönlieb, “Joint reconstruction-segmentation on graphs", SIAM Journal on Imaging Sciences 16 (2023), p. 911-947, https